# Awesome Network Analysis [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome) An [awesome list](https://github.com/sindresorhus/awesome) of resources to construct, analyze and visualize network data. Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning), [Awesome Math](https://github.com/rossant/awesome-math) and others. ## Table of Contents - __[Books](#books)__ - __[Classics](#classics)__ - __[Dissemination](#dissemination)__ - __[General Overviews](#general-overviews)__ - __[Graph Theory](#graph-theory)__ - __[Method-specific](#method-specific)__ - __[Software-specific](#software-specific)__ - __[Topic-specific](#topic-specific)__ - __[Conferences](#conferences)__ - __[Courses](#courses)__ - __[Datasets](#datasets)__ - __[Journals](#journals)__ - __[Professional groups](#professional-groups)__ - __[Research Groups (USA)](#research-groups-usa)__ - __[Research Groups (Other)](#research-groups-other)__ - __[Review Articles](#review-articles)__ - __[Software](#software)__ - __[Algorithms](#algorithms)__ - __[C / C++](#c--c)__ - __[JavaScript](#javascript)__ - __[MATLAB](#matlab)__ - __[Python](#python)__ - __[R](#r)__ - __[Stata](#stata)__ - __[Syntaxes](#syntaxes)__ - __[Tutorials](#tutorials)__ - __[Varia](#varia)__ - __[Blog Series](#blog-series)__ - __[Fictional Networks](#fictional-networks)__ - __[Network Science](#network-science)__ - __[Small Worlds](#small-worlds)__ - __[Contribution Guidelines](CONTRIBUTING.md)__ - __[License](#license)__ ## Books ### Classics 1. _[A Novitiate in a Period of Change: An Experimental and Case Study of Social Relationships](https://www.dropbox.com/s/cwhmfp4qjl09y2k/Sampson%2C%20Samuel%201968.pdf?dl=0)_, by Samuel F. Sampson (unpublished PhD dissertation, 1968). - _[Social Network Analysis. A Handbook](https://uk.sagepub.com/en-gb/eur/social-network-analysis/book237401)_, by John Scott (1991, 3rd ed. 2013). - _[Social Network Analysis. Methods and Applications](http://www.cambridge.org/ar/academic/subjects/sociology/sociology-general-interest/social-network-analysis-methods-and-applications)_, by Stanley Wasserman and Katherine Faust (1994). - _[The Structure and Dynamics of Networks](http://press.princeton.edu/titles/8114.html)_, edited by Mark E.J. Newman, Albert-László Barabási and Duncan J. Watts - 600 pages of classic network analysis articles (2006). ### Dissemination > Accessible introductions aimed at non-technical audiences. 1. _[Linked: The New Science of Networks](https://www3.nd.edu/~networks/Linked/index.html)_, by Albert-László Barabási - [Selected chapters online](http://barabasi.com/book/linked#linked) (2002). - _[Six Degrees: The Science of a Connected Age](http://books.wwnorton.com/books/detail.aspx?ID=7599)_, by Duncan J. Watts (2003). ### General Overviews 1. _[Network Science](http://barabasilab.neu.edu/networksciencebook/downlPDF.html)_, by Albert-László Barabási - Full book online (2016). - _[Network Science](http://www.nap.edu/catalog/11516/network-science)_, by the U.S. National Research Council - Full book online (2005). - _[Network Science: Theory and Practice](http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118211014.html)_, by Ted G. Lewis (2011). - _[Networks. An Introduction](http://www-personal.umich.edu/~mejn/networks-an-introduction/)_, by Mark E.J. Newman (2010). - _[Networks, Crowds, and Markets: Reasoning About a Highly Connected World](http://www.cs.cornell.edu/home/kleinber/networks-book/)_, by David Easley and Jon Kleinberg - Full pre-publication draft ([review](http://bactra.org/reviews/networks-crowds-markets.html); 2010). - _[Réseaux sociaux et structures relationnelles](https://www.puf.com/content/R%C3%A9seaux_sociaux_et_structures_relationnelles)_, by Emmanuel Lazega, in French (2014). - _[Sociologie des réseaux sociaux](http://pierremerckle.fr/2011/02/sociologie-des-reseaux-sociaux/)_, by Pierre Mercklé, in French (2011). - _[Social and Economic Networks](http://press.princeton.edu/titles/8767.html)_, by Matthew O. Jackson (2008). - _[Social Network Analysis with Applications](http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118169476.html)_, by Ian McCulloh, Helen Armstrong and Anthony Johnson (2013). - _[Social Networks: An Introduction](https://www.routledge.com/products/9780415458030)_, by Jeroen Bruggeman ([related material](https://sites.google.com/site/introsocnet/); 2008). - _[Studying Social Networks. A Guide to Empirical Research](http://press.uchicago.edu/ucp/books/book/distributed/S/bo15475096.html)_, by Marina Hennig _et al._ (2013). ### Graph Theory 1. _[Complex Graphs and Networks](http://bookstore.ams.org/cbms-107/)_, by Fan Chung and Linyuan Lu (2006). - _[The Fascinating World of Graph Theory](http://press.princeton.edu/titles/10314.html)_, Arthur Benjamin, Gary Chartrand and Ping Zhang (2015). - _[Graph Theory](http://www.cs.unibo.it/babaoglu/courses/cas00-01/tutorials/GraphTheory.pdf)_, by Reinhard Diestel - Full book online (2000). - _[Random graph Dynamics](https://services.math.duke.edu/~rtd/RGD/RGD.html)_, by Rick Durrett - Full book online (2007). ### Method-specific 1. _[Bayesian Networks in R with Applications in Systems Biology](https://www.springer.com/fr/book/9781461464457)_, by Radhakrishnan Nagarajan, Marco Scutari and Sophie Lèbre ([website](http://www.bnlearn.com/book-useR/); 2013). - _[Bayesian Networks with Examples in R](http://www.crcpress.com/product/isbn/9781482225587)_, by Marco Scutari and Jean-Baptiste Denis ([website](http://www.bnlearn.com/book-crc/); 2014). - _[Exponential Random Graph Models for Social Networks](http://www.cambridge.org/9780521193566)_, edited by Dean Lusher, Johan Koskinen and Garry Robins (2013). - _Inferential Network Analysis_, by Skyler J. Cranmer, Bruce A. Desmarais and Jason Morgan (forthcoming). - _[Multilevel Network Analysis for the Social Sciences](https://www.springer.com/fr/book/9783319245188)_, edited by Emmanuel Lazega and Tom A.B. Snijders (2016). - _[Network Analysis: Methodological Foundations](https://www.springer.com/fr/book/9783540249795)_, edited by Ulrik Brandes and Thomas Erlebach - Covers network centrality, clustering, blockmodels, spatial networks and more (2005). - _[Political Networks. The Structural Perspective](http://www.cambridge.org/ar/academic/subjects/sociology/political-sociology/political-networks-structural-perspective)_, by David Knoke (1994). - _[Social Network Analysis for Ego-Nets: Social Network Analysis for Actor-Centred Networks](https://uk.sagepub.com/en-gb/eur/social-network-analysis-for-ego-nets/book240391)_, by Nick Crossley _et al._ (2015). ### Software-specific 1. _[Analyzing Social Networks](https://sites.google.com/site/analyzingsocialnetworks/)_ (using UCINET), by Stephen P. Borgatti, Martin G. Everett and Jeffrey C. Johnson (2013). - _Network Analysis with R/igraph_, by Gabor Csárdi, Thomas Nepusz and Eduardo M. Airoldi (in preparation). - _Network Analysis with Python/igraph_, by Thomas Nepusz, Gabor Csárdi and Eduardo M. Airoldi (in preparation). - _[Social Network Analysis for Startups. Finding Connections on the Social Web](http://shop.oreilly.com/product/0636920020424.do)_ (using Python), by Maksim Tsvetovat and Alexander Kouznetsov ([code](https://github.com/maksim2042/SNABook); 2011). - _[Statistical Analysis of Network Data with R](http://www.springer.com/us/book/9781493909827)_, by Eric D. Kolaczyk and Gabor Csárdi ([R package](https://github.com/kolaczyk/sand); 2014). ### Topic-specific 1. _[Comparing Policy Networks. Labor Politics in the U.S., Germany, and Japan](http://www.cambridge.org/ar/academic/subjects/politics-international-relations/comparative-politics/comparing-policy-networks-labor-politics-us-germany-and-japan)_, by David Knoke _et al._ (1996). - _[Dynamical Processes on Complex Networks](http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521879507)_, by Alain Barrat, Marc Barthélemy and Alessandro Vespignani (2008). - _[Neighbor Networks. Competitive Advantage Local and Personal](https://global.oup.com/academic/product/neighbor-networks-9780199570690)_, by Ronald S. Burt (2010). - _[Small Worlds: The Dynamics of Networks between Order and Randomness](http://press.princeton.edu/titles/6768.html)_, by Duncan J. Watts (2003). - _[Towards Relational Sociology](https://www.routledge.com/products/9780415480147)_, by Nick Crossley (2011). - _[Visualisierung komplexer Strukturen. Grundlagen der Darstellung mehrdimensionaler Netzwerke](http://www.campus.de/buecher-campus-verlag/wissenschaft/soziologie/visualisierung_komplexer_strukturen-2467.html)_, by Lothar Krempel, in German. ## Conferences > Recurring conferences on network analysis. 1. [ASONAM - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining](http://asonam.cpsc.ucalgary.ca/). - [SNAA - Workshop on Social Network Analysis in Applications](http://snaa.pwr.edu.pl/). - [CNDay - Cambridge Networks Day](http://www.cnn.group.cam.ac.uk/cambridge-networks-day) - Convened by the Cambridge Networks Network. - [EUSN - European Conference on Social Networks](http://eusn.org/). - [PolNet - Annual Political Networks Workshops and Conference](http://conference.polinetworks.org/) - Organized by the APSA Organized Section on Political Networks. - [Videos from the Political Networks 2009 Conference](https://vimeo.com/user2690333). - [NetSci - International School and Conference on Social Networks](http://www.netscisociety.net/) - Organized by the Network Science Society. - [Sunbelt - Social Networks Conference of the International Network for Social Network Analysis (INSNA)](http://www.insna.org/archives.html). ## Courses 1. [CS 8803-NS: Network Science](http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/), by Constantine Dovrolis - Mostly open access readings (Georgia Tech, 2015). - [Complex Networks](https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/), by Peter Sheridan Dodds (University of Vermont, 2016). - [Graph Theory and Applications](http://www.hamilton.ie/ollie/Downloads/Graph.pdf), by Paul Van Dooren - Full lecture slides (Hamilton Institute, Dublin, 2009). - [Graph Theory: Penn State Math 485 Lecture Notes](http://www.personal.psu.edu/cxg286/Math485.pdf), by Christopher Griffin - Full lecture notes (Penn State University, 2012). - [Network Analysis and Modeling (CSCI 5352)](http://tuvalu.santafe.edu/~aaronc/courses/5352/), by Aaron Clauset - Full lecture slides and readings (University of Colorado, 2014). - [Networks, Complexity and Its Applications (Media Arts and Sciences)](http://ocw.mit.edu/courses/media-arts-and-sciences/mas-961-networks-complexity-and-its-applications-spring-2011/), by Cesar Hidalgo (MIT, 2011). - [Networks, Crowds and Markets](https://www.edx.org/course/networks-crowds-markets-cornellx-info2040x-2), by David Easley, Jon Kleinberg and Eva Tardos ([presentation](https://www.cornell.edu/video/cornellx-networks-crowds-and-markets); Cornell University via edX, 2016). - [Networks (Economics)](http://ocw.mit.edu/courses/economics/14-15j-networks-fall-2009/), by Daron Acemoglu and Asu Ozdaglar (MIT, 2009). - [Network Science (Physics)](http://barabasilab.neu.edu/courses/phys5116/), by Albert-László Barabási, Sean Cornelius and Roberta Sinatra (Northeastern University, 2015). - [Political Networks: Methods and Applications](http://vanity.dss.ucdavis.edu/~maoz/networks/Spring%202011/pol279-11.htm), by Zeev Maoz (University of California in Davis, 2012). - [Social and Economic Networks: Models and Analysis](https://www.coursera.org/course/networksonline), by Matthew O. Jackson (Stanford University via Coursera, 2015). - [Social Network Analysis](https://www.coursera.org/course/sna), by Lada Adamic (University of Michigan via Coursera, not yet run). - [Social Network Analysis](http://www.mjdenny.com/workshops/SN_Theory_I.pdf) and [Intermediate Social Network Theory](http://www.mjdenny.com/workshops/Relational_Theory_Workshop.pdf), by Matthew J. Denny - Workshop notes and slides (2014–5). - [The Structure of Information Networks](https://www.cs.cornell.edu/Courses/cs6850/2008fa/), by Jon Kleinberg - Links to many diverse readings (Cornell University, 2008). ## Datasets > See also [Mangal](http://mangal.io/), an online platform and collection of tools to analyze, archive and share ecological network data ([preprint](http://biorxiv.org/content/early/2015/02/24/002634), [Python package](https://github.com/mangal-wg/pymangal), [R package](https://github.com/mangal-wg/rmangal)). 1. [Barabási and Albert Network Datasets](https://www3.nd.edu/~networks/resources.htm). - [Bayesian Network Repository](http://www.bnlearn.com/bnrepository/). - [Bill Cosponsorship Networks in European Parliaments](https://github.com/briatte/parlnet). - [Connectome](http://openconnecto.me/graph-services/download/) - Comprehensive maps of neural connections. - [Enron Email Dataset](https://www.cs.cmu.edu/~enron/). - [Eric D. Kolaczyk's Network Datasets](http://math.bu.edu/people/kolaczyk/datasets.html). - [Gephi Datasets](https://github.com/gephi/gephi/wiki/Datasets). - [igraphdata](https://cran.r-project.org/web/packages/igraphdata/index.html) (R data-centric package). - [Interaction Web Database](https://www.nceas.ucsb.edu/interactionweb/resources.html) - Ecological species interactions. - [International Currencies 1890-1910](http://eh.net/database/international-currencies-1890-1910/) - Historical data on the international connections between 45 currencies. - [KONECT - The Koblenz Network Collection](http://konect.uni-koblenz.de/). - [James H. Fowler's Cosponsorship Network Data Page](http://jhfowler.ucsd.edu/cosponsorship.htm). - [Manlio De Domenico's Multilayer Networks](http://deim.urv.cat/~manlio.dedomenico/data.php). - [Mark E.J. Newman's Network Data](http://www-personal.umich.edu/~mejn/netdata/) ([example visualizations](http://www-personal.umich.edu/~mejn/networks/)). - [Pajek Datasets](http://vlado.fmf.uni-lj.si/pub/networks/data/). - [Siena Datasets](http://www.stats.ox.ac.uk/~snijders/siena/siena_datasets.htm). - [Stanford Large Network Dataset Collection](http://snap.stanford.edu/data/index.html). - [tnet Datasets](https://toreopsahl.com/datasets/). - [UCI Network Data Repository](http://networkdata.ics.uci.edu/). ## Journals > Journals that are not fully open-access are marked as "gated". Please also note that some of the publishers listed below are [deeply hurting](https://twitter.com/costofknowledge) scientific publishing. 1. _[Applied Network Science](http://appliednetsci.springeropen.com/)_ (Springer Open). - _[Computational and Mathematical Organization Theory](http://link.springer.com/journal/10588)_ (Springer, gated). - _[Computational Social Networks](http://computationalsocialnetworks.springeropen.com/)_ (Springer Open). - _[Connections](http://www.insna.org/connections.html)_ (INSNA). - _[Journal of Complex Networks](http://comnet.oxfordjournals.org/)_ (Oxford, gated). - _[The Journal of Mathematical Sociology](http://www.tandfonline.com/loi/gmas20)_ (Taylor & Francis, gated). - _[Journal of Social Structure](http://www.cmu.edu/joss)_ (INSNA). - _[Network Science](http://journals.cambridge.org/action/displayJournal?jid=nws)_ (Cambridge, gated). - _[REDES](http://revista-redes.rediris.es/)_, in Spanish (INSNA). - _[Social Network Analysis and Mining](http://link.springer.com/journal/13278)_ (Springer, gated). - _[Social Networks](http://ees.elsevier.com/son/default.asp)_ (Elsevier, gated). ## Professional groups 1. [AFS RT 26 “Réseaux sociaux”](http://www.cmh.pro.ens.fr/reseaux-sociaux/) - Thematic Network of the French Sociological Association, in French. - [ECPR Political Networks SG](https://politicalnetsecpr.wordpress.com/) - Standing Group of the European Consortium for Political Research ([Twitter account](https://twitter.com/politicalnets)). - [GDR Analyse de réseaux en sciences humaines et sociales](http://arshs.hypotheses.org/), in French. - [Groupe FMR - Flux, Matrices, Réseaux](http://groupefmr.hypotheses.org/), in French. - [INSNA: International Network for Social Network Analysis](http://www.insna.org/) ([SOCNET mailing-list](http://www.insna.org/pubs/socnet.html)). - [Mathematical Sociology Section of the American Sociological Association (ASA)](http://www.asanet.org/sections/mathematical.cfm). - [NetSci: Network Science Society](http://www.netscisociety.net/). - [APSA Political Networks](http://www.polinetworks.org/) - Organized Section of the American Political Science Association. ### Research Groups (USA) > Network-focused research centers, (reading) groups, institutes, labs – you name it – based in the USA. 1. [Annenberg Networks Network](http://uscann.tumblr.com/) - Research group studying social networks at the University of Southern California. - [Channing Division of Network Medicine](http://www.brighamandwomens.org/research/depts/medicine/channing/default.aspx) - Research division within the Department of Medicine at Brigham and Women's Hospital. - [Complex Human Networks Reading Group (CoHN)](http://alumni.media.mit.edu/~tanzeem/cohn/CoHN.htm) - Reading list from a seminar held at MIT in 2001–2. - [Interdependence in Governance and Policy Research Group](https://sites.psu.edu/desmaraisgroup/) - Led by Bruce A. Desmarais at Penn State University. - [Indiana University Network Science Institute (IUNI)](http://iuni.iu.edu/). - [Interdisciplinary Center for Network Science and Applications (iCeNSA) at the University of Notre Dame](http://icensa.com/). - [LINKS Center for Social Network Analysis at the Gatton College of Business and Economics, University of Kentucky](https://sites.google.com/site/uklinkscenter/). - [NetSCI Lab at the Rutgers School of Communication and Information](http://netsci.rutgers.edu/). - [Network Science Center at the U.S. Military Academy (USMA) in West Point](http://www.usma.edu/nsc/) ([blog](http://blog.netsciwestpoint.org/)). - [Network Science IGERT at the University of California at Santa Barbara (UCSB)](http://networkscience.igert.ucsb.edu/) - Features an [NSF-funded](http://www.igert.org/) graduate programme. - [Networks, Computation, and Social Dynamics Lab](http://www.ncasd.org/) - Headed by Carter T. Butts. Part of the [Center for Networks and Relational Analysis](http://relationalanalysis.org/) (CNRA) at the University of California in Irvine. - [Northeastern University Network Science Institute](http://www.networkscienceinstitute.org/) - Features a PhD in Network Science program.. - [Northeastern University Center for Complex Network Research](http://www.barabasilab.com/) - Led by Albert-László Barabási. - [Northeastern University MOBS Lab - Laboratory for the Modeling of Biological and Socio-technical Systems](http://www.mobs-lab.org/) - Led by Alessandro Vespignani. - [Peter J. Mucha's Research Group at the University of North Carolina at Chapel Hill](http://mucha.web.unc.edu/networks/). - [Social Network Analysis Group @ Stanford](http://sna.stanford.edu/). - [Warren Center for Network & Data Sciences at the University of Pennsylvania](http://warrencenter.upenn.edu/). - [Yale Institute for Network Science (YINS)](http://yins.yale.edu/). ### Research Groups (other) > Network-focused research centers, (reading) groups, institutes, labs – you name it – based outside of the USA. 1. [Cambridge Networks Network (CNN)](http://www.cnn.group.cam.ac.uk/) - Research network on complex networks. - [Centre for Business Network Analysis, University of Greenwich](http://www.gre.ac.uk/business/research/centres/cbna/home) - Focused on economic/organisational network analysis. - [Center for Network Science, Central European University, Budapest](http://cns.ceu.edu/) - Features a PhD in Network Science program. - [Cx-Nets](http://www.cxnets.org/) - Virtual collaboration between four complex networks research groups. - [Large Graphs and Networks](http://sites.uclouvain.be/networks/) - Research group at the Catholic University of Louvain. - [Mitchell Centre for Social Network Analysis, University of Manchester](http://www.socialsciences.manchester.ac.uk/mitchell-centre/) - Currently studies [covert networks](http://www.socialsciences.manchester.ac.uk/mitchell-centre/research/covert-networks/). - [NetLab](http://groups.chass.utoronto.ca/netlab/) - Research network at the University of Toronto, led by Barry Wellman. - [Network Science Research Centre, Swansea University](http://www.swansea.ac.uk/som/research-faculty/networkscienceresearchcentre/). - [ORIO - Observatoire des Réseaux Intra- et Inter-Organisationnels](http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/) - A research program on networks and regulation. - [‘Réseaux et Régulation’ Conference Cycle](http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/sminaire-rseaux-et-rgulation/) - Seminar based at Sciences Po in Paris, France. - [SocioPatterns](http://www.sociopatterns.org/) - Interdisciplinary research group that uses wireless sensors to study social network data. - [UCL Centre for Organisational Network Analysis (CONA)](https://www.ucl.ac.uk/cona). ## Review Articles 1. [Basic Notions for the Analysis of Large Two-mode Networks](http://www.sciencedirect.com/science/article/pii/S0378873307000494) ([preprint](https://www-complexnetworks.lip6.fr/~latapy/Publis/socnet07.pdf), [related code](https://www-complexnetworks.lip6.fr/~latapy/Bip/); _Social Networks_, 2008). - [Brokerage](http://www.annualreviews.org/doi/abs/10.1146/annurev-soc-081309-150054) (_Annual Review of Sociology_, 2012). - [Biological Networks](http://algo.uni-konstanz.de/publications/bbs-bn-13.pdf) (_Handbook of Graph Drawing and Visualization_, 2013). - [Birds of a Feather: Homophily in Social Networks](http://www.annualreviews.org/doi/abs/10.1146/annurev.soc.27.1.415) (_Annual Review of Sociology_, 2001). - [Graph Theory and Networks in Biology](http://dx.doi.org/10.1049/iet-syb:20060038) ([preprint](http://arxiv.org/abs/q-bio/0604006); _IET Systems Biology_, 2007). - [Introduction to Stochastic Actor-Based Models for Network Dynamics](http://www.sciencedirect.com/science/article/pii/S0378873309000069) ([preprint](http://www.stats.ox.ac.uk/~snijders/SnijdersSteglichVdBunt2009.pdf); _Social Networks_, 2010). - [Mixed-Method Approaches to Social Network Analysis](http://eprints.ncrm.ac.uk/842/) (ESRC NCRM Discussion Paper, 2010). - [Network Analysis and Political Science](http://www.annualreviews.org/doi/abs/10.1146/annurev.polisci.12.040907.115949) (_Annual Review of Political Science_, 2011). - [Networks and History](http://onlinelibrary.wiley.com/doi/10.1002/cplx.10054/abstract) (_Complexity_, 2002). - [Social Network Algorithms and Software](http://www.sciencedirect.com/science/article/pii/B9780080970868431211) (_International Encyclopedia of Social and Behavioral Sciences_, 2015). - [Social Network Analysis in the Study of Terrorism and Political Violence](http://journals.cambridge.org/article_S1049096510001848) ([preprint](http://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1048&context=pn_wp); _PS: Political Science and Politics_, 2011). - [Statistical Models for Social Networks](http://www.annualreviews.org/doi/abs/10.1146/annurev.soc.012809.102709) (_Annual Review of Sociology_, 2011). - [The Structure and Function of Complex Networks](http://epubs.siam.org/doi/abs/10.1137/S003614450342480) (_SIAM Review_, 2003). ## Software > Several links in this section come from the [NetWiki Shared Code](http://netwiki.amath.unc.edu/SharedCode/SharedCode) page. Software-centric tutorials are listed below their program of choice: other tutorials are listed [in the next section](#tutorials). > See also the [Social Network Analysis Project Survey](https://docs.google.com/spreadsheets/d/1Xo-ehJatzmxMek6gPG0h-d7yRSuiO6_flViTQNMAku0/edit#gid=0) ([blog post](http://pudo.org/blog/2013/12/21/sna-survey.html)), an earlier attempt to chart social network analysis tools that links to many commercial platforms not included in this list, such as [Detective.io](http://www.detective.io/). > Also note that the Wikipedia English entry on [Social Network Analysis Software](https://en.wikipedia.org/wiki/Social_network_analysis_software) links to many commercial that are often very expensive, outdated, and far from being awesome by any reasonable standard. 1. [Cytoscape](http://www.cytoscape.org/) - Cross-platform Java program to build, analyze and visualize networks. Also a JavaScript library. - [Discourse Network Analyzer (DNA)](http://www.philipleifeld.com/discourse-network-analyzer/discourse-network-analyzer-dna.html) - Qualitative content analysis tool with network export facilities, written in Java with R integration. - [Gephi](https://gephi.github.io/) - Cross-platform, free and open source tool for network visualization. - [Practical Social Network Analysis With Gephi](http://derekgreene.com/gephitutorial/) (2014). - [GLEAMviz Simulator](http://www.gleamviz.org/) - Cross-platform tool intended for the prediction of human epidemics. - [Graphviz](http://www.graphviz.org/) - Cross-platform software to draw graphs in the DOT graph drawing language. - [Graphy](https://github.com/bruce/graphy) - Graph theory library written in Ruby. - [MuxViz](http://muxviz.net/) - Cross-platform, free and open source tool to study multilayer networks, based on R and GNU Octave. - [Neo4j](http://neo4j.com/) - Open source, scalable graph database, used by companies like [Linkurious](http://linkurio.us/). - [NodeXL](http://nodexl.codeplex.com/) - Free, open-source template to explore network graphs with Microsoft Excel. - [ORA-LITE](http://www.casos.cs.cmu.edu/projects/ora/) - Windows program for dynamic meta-network assessment and analysis. - [Pajek](http://vlado.fmf.uni-lj.si/pub/networks/pajek/) - Windows program for large network analysis, free for noncommercial use. - [Analyse des réseaux : une introduction à Pajek](http://quanti.hypotheses.org/512/), in French (2011). - [La détection de communautés avec Pajek 3.6](http://groupefmr.hypotheses.org/544), in French (2012). - [PNet](http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/PNet-software/index.html) - Simulation and estimation of exponential random graph models (ERGMs), written in Java for Windows. - [Radatools](http://deim.urv.cat/~sergio.gomez/radatools.php) - Set of tools intended for the analysis of complex networks, built on top of [Radalib](http://deim.urv.cat/~sergio.gomez/radalib.php), a library written in Ada. - [Siena](http://www.stats.ox.ac.uk/~snijders/siena/) - Simulation Investigation for Empirical Network Analysis. Formerly a Windows program, now developed as the RSiena R package. - [StOCNET](http://www.gmw.rug.nl/~stocnet/StOCNET.htm) - Several Windows programs developed by the same team as Siena. - [SoNIA](http://web.stanford.edu/group/sonia/) (Social Network Image Animator) - Tool to visualize dynamic or longitudinal network data. Formerly a [Java program](https://sourceforge.net/projects/sonia/) ([example movies](http://www.soc.duke.edu/~jmoody77/NetMovies/index.htm)), now developed as the ndtv R package. - [UCINET](https://sites.google.com/site/ucinetsoftware/) - Windows commercial software package for the analysis of social network data. - [Visone](http://visone.info/) - Cross-platform Java network analysis and visualization program, free for noncommercial use. - [VOSviewer](http://www.vosviewer.com/) - Cross-platform Java tool for constructing and visualizing bibliometric networks. ### Algorithms > Network placement and community detection algorithms that do not fit in any of the next subsections. > See also the [Awesome Algorithms](https://github.com/tayllan/awesome-algorithms) and [Awesome Algorithm Visualization](https://github.com/enjalot/algovis) lists for more algorithmic awesomess. 1. [algo.graph](https://github.com/clojure/algo.graph) - Basic graph theory algorithms written in Clojure. - [CONGA and CONGO](http://www.cs.bris.ac.uk/~steve/networks/index.html) - Algorithms to detect overlapping communities in networks, written in Java. - [ForceAtlas2](https://gephi.wordpress.com/2011/06/06/forceatlas2-the-new-version-of-our-home-brew-layout/) - Force-directed layout included in Gephi ([paper](http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0098679)). - [vbmod: Variational Bayesian Inference for Network Modularity](http://vbmod.sourceforge.net/) - MATLAB and Python implementations of a [Bayesian community detection algorithm](http://arxiv.org/abs/0709.3512). - [weighted-modularity-LPAwbPLUS](https://github.com/sjbeckett/weighted-modularity-LPAwbPLUS) - Julia, MATLAB and R implementations of two algorithms to find weighted modularity in bipartite networks. ### C / C++ > For more awesome C / C++ content, see the [Awesome C](https://github.com/aleksandar-todorovic/awesome-c) and [Awesome C / C++](https://github.com/fffaraz/awesome-cpp) lists. 1. [Benchmark Graphs to Test Community Detection Algorithms](https://sites.google.com/site/santofortunato/inthepress2) - C++ code to generate weighted and unweighted graphs. - [Boost Graph Library (BGL)](http://www.boost.org/doc/libs/1_60_0/libs/graph/doc/) - C++ library that provides a generic interface to access graph structures. - [igraph](http://igraph.org/) - C library of network analysis tools; also exists as packages for Python and R. - [Louvain Method](https://sites.google.com/site/findcommunities/) - C++ code for the [Louvain multi-level community detection algorithm](http://arxiv.org/abs/0803.0476). - [networks.tb](http://networks-tb.sourceforge.net/) - C program designed for analyzing socio-semantic networks. Runs on Linux and Mac OS X. - [OpenOrd: Large-scale Graph Layout (formerly DrL)](http://www.cs.sandia.gov/~smartin/software.html) - Written in C++. Also available as a [Gephi plugin](https://marketplace.gephi.org/plugin/openord-layout/). - [Stanford Network Analysis Project](http://snap.stanford.edu/) - C++ general purpose network analysis and graph mining library. Available as a Python library and in Microsoft Excel via NodeXL. - [Walktrap](https://www-complexnetworks.lip6.fr/~latapy/PP/walktrap.html) - C++ program that implements the [WalkTrap community detection algorithm](http://arxiv.org/abs/physics/0512106). ### JavaScript > For more awesome JavaScript libraries, see the [Awesome JavaScript](https://github.com/sorrycc/awesome-javascript) list. 1. [Cytoscape.js](http://js.cytoscape.org/) - Graph theory (a.k.a. network) library for analysis and visualisation. - [d3.js](https://d3js.org/) - JavaScript visualization library that can plot [force-directed graphs](http://bl.ocks.org/mbostock/4062045). - [greuler](https://maurizzzio.github.io/greuler/) - Visualization library to build and manipulate graphs through a simple API. Powered by d3.js and [WebCola](http://marvl.infotech.monash.edu/webcola/). - [jLouvain](https://github.com/upphiminn/jLouvain) - Louvain community detection for Javascript ([example](http://bl.ocks.org/emeeks/125db75c9b55ddcbdeb5)). - [Sigma](http://sigmajs.org/) - JavaScript library dedicated to graph drawing. - [vis.js](http://visjs.org/) - JavaScript library with network visualization capabilities. - [VivaGraphJS](https://github.com/anvaka/VivaGraphJS) - Graph drawing library ([ForceAtlas2 plugin](https://github.com/graphcommons/viva.forceatlas2)). - [viz.js](https://mdaines.github.io/viz.js/) - Use Graphviz in Web pages. ### MATLAB 1. [CONTEST](http://www.maths.strath.ac.uk/research/groups/numerical_analysis/contest) - Random network toolbox that implements nine network models. - [Generalized Louvain](http://netwiki.amath.unc.edu/GenLouvain/GenLouvain) - A variant of the Louvain community detection algorithm. - [MatlabBGL](http://dgleich.github.io/matlab-bgl/) - A graph library for Matlab, based on the Boost graph library. - [MATLAB RBN Toolbox](http://www.teuscher.ch/rbntoolbox/index.htm) - Simulation und visualization of Random Boolean Networks. ### Python > Most items below are from [a Google spreadsheet](https://docs.google.com/spreadsheets/d/1vJILk2EW1JnR3YAwTSSqAV5mPkeXaezy45wOoafBpfU/edit#gid=0) by Michał Bojanowski and others. > See also [Social Network Analysis with Python](https://www.youtube.com/watch?v=qgGqaBAEy3Q), a 3-hour tutorial by Maksim Tsvetovat and Alex Kouznetsov given at PyCon US 2012 ([code](https://github.com/maksim2042/PyCon2012)). > For more awesome Python packages, see the [Awesome Python](https://github.com/vinta/awesome-python) list. 1. [graph-tool](https://graph-tool.skewed.de/) - Python module for network manipulation and analysis, written mostly in C++ for speed. - [graphviz](https://pypi.python.org/pypi/graphviz) - Python renderer for the DOT graph drawing language. - [linkpred](https://github.com/rafguns/linkpred) - Assess the likelihood of potential links in a future snapshot of a network. - [networkx](http://networkx.github.io/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. - [python-igraph](http://igraph.org/python/) - Python version of the igraph network analysis package. ### R > See also [this Google spreadsheet](https://docs.google.com/spreadsheets/d/1CoFGtrW85D9FsVcAE5-bcXVl6QOTncwXjFBYp4u2WgE/edit?usp=sharing) by Ian McCulloh and others. > For more awesome R resources, see the [Awesome R](https://github.com/qinwf/awesome-R) and [Awesome R Books](https://github.com/RomanTsegelskyi/rbooks) lists. 1. [Bergm](https://cran.r-project.org/web/packages/Bergm/) - Tools to analyse Bayesian exponential random graph models (BERGM). - [bnlearn](https://cran.r-project.org/web/packages/bnlearn/) - Tools for [Bayesian network learning and inference](http://www.bnlearn.com/) ([related Shiny app](https://paulgovan.github.io/RiskNetwork/)). - [CCAS](https://github.com/matthewjdenny/CCAS) - A statistical model for communication networks. - [concoR](https://github.com/aslez/concoR) - A translation of the CONCOR network blockmodeling algorithm ([blog post](http://badhessian.org/2015/05/concor-in-r/)). - [ContentStructure](https://github.com/matthewjdenny/ContentStructure) - implements an extension to the [Topic-Partitioned Multinetwork Embeddings (TPME) model](http://dirichlet.net/pdf/krafft12topic-partitioned.pdf). - [DiagrammeR](https://github.com/rich-iannone/DiagrammeR) - Connects R, RStudio and JavaScript libraries to draw graph diagrams ([blog post](https://blog.rstudio.org/2015/05/01/rstudio-v0-99-preview-graphviz-and-diagrammer/)). - [ergm](https://cran.r-project.org/web/packages/ergm/) - Estimation of Exponential Random Graph Models (ERGM). - [ERGM: edgecov and dyadcov specifications](http://mjh4.blogspot.fr/2012/09/ergm-edgecov-and-dyadcov-specifications.html). - [GERGM](https://cran.r-project.org/web/packages/GERGM/) - Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models (GERGM). - [geomnet](https://cran.r-project.org/web/packages/geomnet/) - A single-geometry approach to network visualization with ggplot2. - [ggnetwork](https://cran.r-project.org/web/packages/ggnetwork/) - A multiple-geometries approach to plot network objects with ggplot2. - [ggraph](https://github.com/thomasp85/ggraph) - A grammar of graph graphics built in the spirit of ggplot2. - [hergm](https://cran.r-project.org/web/packages/hergm/) - Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence. - [igraph](http://igraph.org/r/) - A collection of network analysis tools. - [Network Analysis and Visualization with R and igraph](http://kateto.net/networks-r-igraph) (2016). - [influenceR](https://cran.r-project.org/web/packages/influenceR/) - Compute various node centrality network measures by Burt, Borgatti and others. - [latentnet](https://cran.r-project.org/web/packages/latentnet/) - Latent position and cluster models for network objects. - [networkD3](http://christophergandrud.github.io/networkD3/) - D3 JavaScript network graphs from R. - [ndtv](https://cran.r-project.org/web/packages/ndtv/) - Tools to construct animated visualizations of dynamic network data in various formats. - [network](https://cran.r-project.org/web/packages/network/) - Basic tools to manipulate relational data in R. - [networkdiffusion](https://github.com/chengjun/networkdiffusion) - Simulate and visualize basic epidemic diffusion in networks. - [networkDynamic](https://cran.r-project.org/web/packages/networkDynamic/) - Support for dynamic, (inter)temporal networks. - [RCy3](https://bioconductor.org/packages/release/bioc/html/RCy3.html) - Interface between R and recent versions of Cytoscape. - [rgexf](https://bitbucket.org/gvegayon/rgexf/wiki/Home) - Export network objects from R to GEXF for manipulation with software like Gephi or Sigma. - [Rgraphviz](https://bioconductor.org/packages/release/bioc/html/Rgraphviz.html) - Support for using the Graphviz library and its DOT graph drawing language from within R. - [RSiena](http://r-forge.r-project.org/R/?group_id=461) - Simulation Investigation for Empirical Network Analysis; fits models to longitudinal network data. - [sna](https://cran.r-project.org/web/packages/sna/) - Basic network measures and visualization tools. - [spectralGOF](http://people.bu.edu/jccs/spectralGOF.html) - Compute the "spectral goodness of fit" (SGOF), a measure of how well a network model explains the structure of an observed network. - [spnet](http://cran.r-project.org/web/packages/spnet/) - Methods for dealing with spatial social networks. - [statnet](http://statnet.org/) - The project behind many R network analysis packages ([mailing-list](https://mailman.u.washington.edu/mailman/listinfo/statnet_help), [wiki](https://statnet.org/trac)). - [Exponential Random Graph Models (ERGMs) Using statnet](https://statnet.org/trac/raw-attachment/wiki/Sunbelt2015/ergm_tutorial.html) (2015). - [Guides for Using the statnet Package](http://www.melissaclarkson.com/resources/R_guides/) (2010). - [Modeling Valued Networks with statnet](https://statnet.org/trac/raw-attachment/wiki/Sunbelt2013/Valued.pdf) (2013). - [tergm](https://cran.r-project.org/web/packages/tergm/) - Fit, simulate and diagnose models for temporal exponential-family random graph models (TERGM). - [tnet](https://cran.r-project.org/web/packages/tnet/) - Network measures for weighted, two-mode and longitudinal networks. - [tsna](https://cran.r-project.org/web/packages/tsna/) - Tools for temporal social network analysis. - [visNetwork](https://github.com/DataKnowledge/visNetwork) - Using vis.js library for network visualization. - [xergm](https://cran.r-project.org/web/packages/xergm/) - Extensions of Exponential Random Graph Models (ERGM, GERGM, TERGM, TNAM and REM). ### Stata 1. [nwcommands: Network Analysis Using Stata](https://nwcommands.wordpress.com/) ([discussion](http://www.statalist.org/forums/forum/general-stata-discussion/general/1290963-network-analysis-which-command-to-use), [tutorials and slides](https://nwcommands.wordpress.com/tutorials-and-slides/)). - [SNA with Stata](http://www.rensecorten.org/index.php/category/sna-with-stata/) - Blog documenting the use of the netplot Stata package. ### Syntaxes > Generic graph syntaxes intended for use by several programs. 1. [DOT](http://www.graphviz.org/doc/info/lang.html) - Graph drawing syntax used by the Graphviz software. - [GEXF](https://gephi.org/gexf/format/) - File format used by the Gephi software. - [JGraphT](http://jgrapht.org/) - Java graph library for graph data structures and algorithms ([example algorithms](https://github.com/agouge/Java-Network-Analyzer)). - [JUNG — Java Universal Network/Graph Framework](http://jung.sourceforge.net/) - Extensible library to represent network objects. - [GraphML](http://graphml.graphdrawing.org/) - Comprehensive and easy-to-use file format for graphs ([handbook chapter](https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/BrEiLe10.pdf)). - [PGF/TikZ](http://www.ctan.org/tex-archive/graphics/pgf/) - [Tandem](https://en.wikipedia.org/wiki/PGF/TikZ) of vector graphics languages that can be used to draw graphs in the [LaTeX](https://latex-project.org/) typesetting environment. - [Awesome LaTeX: TiKZ](https://github.com/egeerardyn/awesome-LaTeX#tikz). - [How to Draw Graphs in LaTeX?](https://tex.stackexchange.com/questions/57152/how-to-draw-graphs-in-latex) - [TikZ Graph Examples](http://www.texample.net/tikz/examples/tag/graphs/). - [TikZ & PGF Manual](http://distrib-coffee.ipsl.jussieu.fr/pub/mirrors/ctan/graphics/pgf/base/doc/pgfmanual.pdf). - [TKZ](http://altermundus.com/pages/tkz/index.html) - Packages based on TikZ. ## Tutorials > Tutorials that are not focused on a single specific software program. 1. [Basic and Advanced Network Visualization with Gephi and R](http://kateto.net/sunbelt2016) (2016). - [Implementing an ERGM From Scratch in Python](http://davidmasad.com/blog/ergms-from-scratch/) (2014). - [L'analyse des graphes bipartis](https://halshs.archives-ouvertes.fr/FMR/halshs-00794976), in French (2013). - [Static and Dynamic Network Visualization with R](http://kateto.net/network-visualization) - Covers the igraph, network, networkD3 and ndtv packages (2015). - [Working with Bipartite/Affiliation Network Data in R](https://solomonmessing.wordpress.com/2012/09/30/working-with-bipartiteaffiliation-network-data-in-r/) (2012). ## Varia > Resources that does not fit in other categories. 1. [A Sociology Citation Network](http://nealcaren.web.unc.edu/a-sociology-citation-network/) and [A Co-citation Network for Philosophy](https://kieranhealy.org/blog/archives/2013/06/18/a-co-citation-network-for-philosophy/) - Examples of scientific co-citation networks. - [Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks](http://www.soc.duke.edu/~jmoody77/chains.pdf) - CLassic example of a real-world sexual network. - [David Knoke on Network Analysis](https://thesocietypages.org/methods/2015/01/30/david-knoke-on-network-analysis/) - A 20-minute interview that discusses the uses and benefits of network analysis, drawing upon Knoke's research on terrorist networks. - [Glossary of terms for statistical network models](https://statnet.org/trac/raw-attachment/wiki/Resources/glossary.pdf). - [Mixed-Method Approaches to Social Network Analysis](https://www.youtube.com/playlist?list=PL3zdEY084WkQD79mR00RSt8j5RuyPwMJE) - Videos of a conference at the Middlesex University School of Law (2014). - [Modeling Complex Social Networks: Challenges and Opportunities for Statistical Learning and Inference](https://www.youtube.com/watch?v=1xLjYc7EUEU) - Video of a seminar talk by Jennifer Neville at Purdue University (2011). - [Network Fact](https://twitter.com/networkfact) - Twitter account about networks, graph theory, and related topics. - [The Performativity of Networks](http://kieranhealy.org/files/papers/performativity.pdf) - Paper that connects network theory to the sociology of science. - [Picking Sides](https://codeandculture.wordpress.com/2015/04/03/picking-sides/) - Community detection in the political network of Middle Eastern alliances between various state and nonstate powers ([updated version](https://gist.github.com/briatte/c6df2f855afb4eb142e6)). - [Plan interactif du métro](http://www.jeromecukier.net/projects/metro/map.html) - Interactive visualization of the Paris metro network, drawn with d3.js, in French. - [Social Networks](http://eszter.com/contract.html#socnet) - Reading list of sociological classics about social networks: Bonacich, Borgatti and Everett, Burt, Emirbayer, Freeman, Granovetter, Padgett and Ansell, Simmel, Wellman, etc. - [Tarot Cards for Principles of Complex Systems and Complex Networks](https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/tarotcards/) - Part of a course by Peter Sheridan Dodds. - [The Ties that Divide: A Network Analysis of the International Monetary System, 1890–1910](http://www.stats.ox.ac.uk/~snijders/FlandreauJobst2005.pdf) and [The Empirics of International Currencies: Network Externalities, History and Persistence](http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0297.2009.02219.x/abstract) - Network analysis of the foreign exchange system in the late 19th century ([data](http://eh.net/database/international-currencies-1890-1910/)). - [Using Metadata to Find Paul Revere](https://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/) and [The Other Ride of Paul Revere: The Brokerage Role in the Making of the American Revolution](http://www.sscnet.ucla.edu/polisci/faculty/chwe/ps269/han.pdf) - Network analysis applied to American revolutionaries. ### Blog Series > Series of blog posts on network topics. > For more blog posts on manipulating networks with R, try searching for [‘networks’](http://www.r-bloggers.com/?s=networks) or [‘social network analysis’](http://www.r-bloggers.com/?s=social+network+analysis) on the [R-Bloggers](http://www.r-bloggers.com/) R blogs aggregator. 1. [Blog Posts About Networks by Aaron Clauset](https://www.cs.unm.edu/~aaron/blog/archives/networks/index.htm). - [Blog Posts About Networks by Baptiste Coulmont](http://coulmont.com/index.php?s=r%C3%A9seaux), in French. - [Blog Posts About Networks by Cosma Shalizi](http://bactra.org/weblog/cat_networks.html). - [Blog Posts About Networks by François Briatte](http://politbistro.hypotheses.org/tag/reseaux), in French. - [Blog Posts About Networks by Katya Ognyanova](http://kateto.net/networks). - [Blog Posts About Networks by Pierre Mercklé](http://pierremerckle.fr/category/reseaux/), in French. - [Blog Posts About Networks on the Bad Hessian Blog](http://badhessian.org/category/networks/), by various contributors. - [Cosma Shalizi's notebooks](http://bactra.org/notebooks) on network-related topics, definitely worth listing in (selective) detail: - [Analysis of Network Data](http://bactra.org/notebooks/network-data-analysis.html). - [Assortative Social Networks and Neutral Cultural Evolution](http://bactra.org/notebooks/neutral-cultural-networks.html). - [Biochemical Network Evolution](http://bactra.org/notebooks/biochem-network-evol.html). - [Citations and Citation Networks](http://bactra.org/notebooks/citations.html). - [Community Discovery Methods for Complex Networks](http://bactra.org/notebooks/community-discovery.html). - [Complex Networks](http://bactra.org/notebooks/complex-networks.html). - [Experiments on Social Networks](http://bactra.org/notebooks/network-experiments.html). - [Exponential Random Graph Models (ERGMs)](http://bactra.org/notebooks/ergms.html). - [Graph Sampling Algorithms](http://bactra.org/notebooks/graph-sampling.html). - [Graph Theory](http://bactra.org/notebooks/graph-theory.html). - [Homophily and Influence in Social Networks](http://bactra.org/notebooks/homophily-vs-influence.html). - [Inferring Networks from Non-Network Data](http://bactra.org/notebooks/inferring-networks.html). - [Joint Modeling of Texts and Networks](http://bactra.org/notebooks/text-networks.html). - [Network Comparison](http://bactra.org/notebooks/network-comparisons.html). - [Networks of Political Actors](http://bactra.org/notebooks/networks-of-political-actors.html). - [Relational Learning](http://bactra.org/notebooks/relational-learning.html). - [Social Contagion, Information Cascades, Diffusion of Innovations, Etc.](http://bactra.org/notebooks/social-contagion.html) - [Social Networks](http://bactra.org/notebooks/social-networks.html). - [Stochastic Block Models](http://bactra.org/notebooks/stochastic-block-models.html). - Daniel Little's blog posts on the philosophy of social science: - [Networks](http://understandingsociety.blogspot.fr/search/label/networks). - [Social Networks](http://understandingsociety.blogspot.fr/search/label/social%20networks). - [Networks Demystified](http://scottbot.net/tag/networks-demystified/), a series of blog posts by Scott B. Weingart. - [R / Notes: Networks](http://f.briatte.org/r/category/networks) - Blog posts focused on manipulating networks in R, by François Briatte. ### Fictional Networks > Explorations of fictional character networks. 1. [Events in the _Game of Thrones_](http://www.jeromecukier.net/projects/agot/events.html) and [Places in the _Game of Thrones_](http://www.jeromecukier.net/projects/agot/places.html) - Networked chronologies of character alliances, kills and travels in the book series. - [Lessons on Exponential Random Graph Modeling from _Grey’s Anatomy_ hook-ups](http://badhessian.org/2012/09/lessons-on-exponential-random-graph-modeling-from-greys-anatomy-hook-ups/). - [Analyzing Networks of Characters in _Love Actually_](http://varianceexplained.org/r/love-actually-network/) - Features a cluster analysis and a [Shiny app](https://dgrtwo.shinyapps.io/love-actually-network/). - [_Star Wars_ Social Networks: The Force Awakens](http://evelinag.com/blog/2016/01-25-social-network-force-awakens/index.html) - Example of a social network analysis written in F#. ### Network Science > Discussions of what "netsci" is about and means for other scientific disciplines. 1. [The Emergence of Network Science](https://www.cornell.edu/video/emergence-of-network-science) - Video documentary, featuring Steven Strogatz and many others. - [Isolated Social Networkers](http://crookedtimber.org/2005/05/19/isolated-social-networkers/), [Networks and Netwars](http://bactra.org/weblog/347.html) and [The inter-disciplinary politics of interdisciplinary research or, "Hey, that was my idea first."](https://www.cs.unm.edu/~aaron/blog/archives/2005/05/the_interdiscip.htm) - Series of blog posts that predate the advent of "network science" as a buzzword, but that touch upon the same issues as those now being discussed under that heading. - [Predicting Highly Cited Papers](http://arxiv.org/abs/1310.8220) - Prediction of the next highly cited papers in network science. - [Social Network and Network Science Co-Citations Across Disciplines in 1996-2013](https://github.com/raffaelevacca/EUSN-co-citation-networks). - [Three Hard Questions about Network Science](http://environmentalpolicy.ucdavis.edu/node/292). - [What is Network Science?](http://journals.cambridge.org/repo_A88Sa8AHdt4SoI) - First editorial of the recent _Network Science_ journal. ### Small Worlds > Links focused on (analogues to) [Stanley Milgram's small-world experiment](https://en.wikipedia.org/wiki/Small-world_experiment). 1. [The Erdös Number Project](http://wwwp.oakland.edu/enp/) - Research project on the collaborative ties and network distance between mathematicians. - [How Small is the World, Really?](https://medium.com/@duncanjwatts/how-small-is-the-world-really-736fa21808ba#.kyr90lhyo) - Discussion of "x degrees of separation" small-world experiments. - [The Oracle of Bacon](https://oracleofbacon.org/) - Based on an [online game](https://en.wikipedia.org/wiki/Six_Degrees_of_Kevin_Bacon) that resulted in a [charity](http://www.sixdegrees.org/). - [Panel: Six Degrees of Separation](https://www.cornell.edu/video/six-degrees-of-separation-panel) - Video of a conference at Cornell University, featuring Duncan Watts, Steven Strogatz, Jon Kleinberg and other speakers. - [Patterns in the Ivy: The Small World of Metal](http://badhessian.org/2013/09/patterns-in-the-ivy-the-small-world-of-metal/) - Example of a two-mode network analysis based on metal artists and bands. - [Six Degrees of Separation](https://en.wikipedia.org/wiki/Six_degrees_of_separation) - Wikipedia English entry. * * * ## License [![CC0](http://i.creativecommons.org/p/zero/1.0/88x31.png)](http://creativecommons.org/publicdomain/zero/1.0/) To the extent possible under law, the authors of this list – by chronological order: [François Briatte](http://f.briatte.org/), [Ian McCulloh](https://www.linkedin.com/in/mcculloh), [Aditya Khanna](http://home.uchicago.edu/~khanna7), [Manlio De Domenico](http://deim.urv.cat/~manlio.dedomenico/index.php), Patrick Kaminski, [Ericka Menchen-Trevino](http://www.ericka.cc/) – have waived all copyright and related or neighboring rights to this work.